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Provide offline-first proxying, policy control, and immutable audits for secure AI coding agents.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "VaultMind" yet — see the docs or source repo.
Design a policy for VaultMind: allow an AI coding agent to read only the src/ and docs/ directories, block access to .env, secrets/, and production config files, and log all denied actions.
An actionable access control policy describing allowed and blocked scopes plus audit requirements.
Explain how to use VaultMind to build an immutable audit trail for an AI coding agent, capturing prompts, tool calls, file change summaries, and timestamps for later security review.
An audit logging plan with captured fields, storage approach, and review workflow recommendations.
Provide an integration plan for VaultMind in an offline-first development environment so a local AI coding agent can access MCP tools through the proxy layer while meeting policy enforcement and isolation requirements.
An offline deployment and integration plan covering proxy flow, isolation boundaries, and where policies are enforced.
Persist, search, and retrieve coding knowledge and session notes for agents.
Securely manage secrets for AI coding agents without exposing them to LLM context.
Turn an Obsidian vault into a searchable, writable second brain with insights.
Capture thoughts, connect ideas, and track thinking changes through natural conversation.
Turn Markdown folders into a searchable knowledge base with persistent memory.
Programmatically access and manage markdown knowledge vault notes, tasks, and projects.